A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising

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Image denoising using scale mixtures of Gaussians in the wavelet domain (2003, methodology): “The House and Peppers images were kindly provided by Pižurica, for proper comparison to her results reported in [51].”
A versatile wavelet domain noise filtration technique for medical imaging (2003, methodology): “Related hereto, but more sophisticated, spatially adaptive methods usually employ complex algorithms, based on hidden Markov tree models [6], [10] or Markov random field prior models [17], [23], [31].”
Two-stage image denoising by principal component analysis with local pixel grouping (2010, methodology): “…have been proposed, from the earlier smoothing filters and frequency domain denoising methods [25] to the lately developed wavelet [1] [2] [3] [4] [5] [6] [7] [8] [9] [10], curvelet [11] and ridgelet [12] based methods, sparse representation [13] and K-SVD [14] methods, shape-adaptive transform…”